Color Constancy with Inverse-Intensity Chromaticity Space
We present a new method of color constancy to estimate the illumination
chromaticity from a single/multi-colored surface. Unlike existing
dichromatic-based methods, our method requires only rough highlight
regions, without segmenting the colors inside them. We show that
by analyzing the highlights of an image, we can obtain a direct
correlation between illumination chromaticity and image chromaticity.
This correlation can be clearly characterized in the "inverse-intensity
chromaticity space", a new two-dimensional space we introduce.
Then, using Hough transform and histogram analysis in this space,
we can robustly estimate the illumination chromaticity from even
a highly textured surface. (with R.T. Tan
and K. Ikeuchi)
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